Finding bibliography metrics using the Crossref API

提供方
Coursera Project Network
在此指導 項目中,您將:
  1. Learn to preprocess data extracted from bibliography management softwares

2. Learn to build R functions to extract metadata from the Crossref API

3. Learn to visualize metadata to understand the trend among different variables

Clock1.5 - 2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

Manually searching specific metadata for an academic paper is laborious. Is there any magic that we can get all metadata for the bibliography search done at once? Crossref is the tool for you. It can extract the metadata for tens of thousands of papers online in one run. By the end of this project, learners will be able to create their own tailored R function to find paper metrics from the Crossref API. The function, which will be guided to build step by step, can easily be re-used when there are newly added articles or if the learners want to get the most up-to-date metrics. In this guided project, the instructor will walk learners through understanding the Crossref API, tailoring an R function, and wrangling the bibliography dataset. A good handle of this method will make it convenient for learners to analyze different metrics for bibliography from different fields, such as impact and number of collaborators.

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Task 1: Understand Crossref API and Import Libraries

  2. Task 2: Import Raw Data and Conduct Basic Data Wrangling

  3. Task 3: Build a Function to Extract General Crossref Information

  4. Task 4: Tailor Variables From the General Crossref Function Output

  5. Task 5: Build a Function to Extract Citation Amount

  6. Task 6: Combine Previous Functions Into an Upper-Level Function

  7. Task 7: Connect Crossref Output to the Original Dataset to Realize Data Visualization

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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